Summary
Residual connections are used in deep neural networks to avoid the Vanishing gradient problem where the gradient does not reach the earlier layers of the model during backpropagation.
Residual connections are used in deep neural networks to avoid the Vanishing gradient problem where the gradient does not reach the earlier layers of the model during backpropagation.